Comparing Latent Subgroups

Gordon Anderson ()
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Gordon Anderson: University of Toronto

Chapter Chapter 5 in Multilateral Wellbeing Comparison in a Many Dimensioned World, 2019, pp 135-151 from Palgrave Macmillan

Abstract: Abstract Frequently, the groupings of interest in a society are not directly observed; they are latent and unknown in number. In this chapter, a technique for determining the number of groups and partially determining an agents’ group membership is explored. The determination is partial in the sense that only the probability of an individual’s membership of a group can be determined. The technique is based upon mixture distributions, for which a good reference is McLachlan and Peel (Finite Mixture Models. Wiley, New York, 2000). After outlining the nature of mixture distributions, estimation, calculation of the probability of class membership and determining the optimal number of classes are discussed. Ultimately, possibilities for examining the determinants of group membership are outlined.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:pal:gpochp:978-3-030-21130-1_5

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DOI: 10.1007/978-3-030-21130-1_5

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